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Detection of coherent noise through the output of random quantum circuits

ORAL

Abstract

As quantum systems with increasing numbers of qubits emerge, new methods of characterizing and mitigating noise sources are required in the multi-qubit regime. While methods like randomized benchmarking (RB) and its variations are widely used in single and few-qubit systems to characterize coherent and incoherent noise sources, multi-qubit RB quickly becomes prohibitive at current coherence and control limits. In addition, it has been shown in recent experiments with three qubit RB that single and two-qubit RB fail to capture error sources present in larger qubit systems. On the other end of the spectrum, system-level metrics like quantum volume and other methods exist, but lump coherent and incoherent errors together in their output. We present here a method, based on the output of random quantum circuits, capable of quantitatively discriminating coherent noise from incoherent noise in multi-qubit systems.

Presenters

  • Jin-Sung Kim

    IBM TJ Watson Research Center

Authors

  • Jin-Sung Kim

    IBM TJ Watson Research Center

  • Lev S Bishop

    IBM TJ Watson Research Center, IBM Thomas J. Watson Research Center

  • Antonio D Corcoles

    IBM Thomas J. Watson Research Center, IBM TJ Watson Research Center

  • Jay M Gambetta

    IBM TJ Watson Research Center

  • David McKay

    IBM TJ Watson Research Center, IBM Thomas J. Watson Research Center

  • Seth Merkel

    IBM TJ Watson Research Center

  • John A Smolin

    IBM TJ Watson Research Center

  • Sarah Sheldon

    IBM TJ Watson Research Center, IBM Thomas J. Watson Research Center